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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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The AI Resilience Report is a project from CareerVillage®, a registered 501(c)(3) nonprofit.
Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
Helpers--Roofers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 5 sources.
The career of helper roofers is considered "Mostly Resilient" because while certain tasks are starting to get support from technology, like drones for inspections or exoskeletons for lifting, the core hands-on work still requires human skills. Tasks like sweeping, cleaning, and fitting roofs are too varied and complex for robots to handle consistently.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is mostly resilient
The career of helper roofers is considered "Mostly Resilient" because while certain tasks are starting to get support from technology, like drones for inspections or exoskeletons for lifting, the core hands-on work still requires human skills. Tasks like sweeping, cleaning, and fitting roofs are too varied and complex for robots to handle consistently.
Read full analysisAnalysis of Current AI Resilience
Helpers--Roofers
Updated Quarterly • Last Update: 2/17/2026

Right now, helper roofers still do most of the heavy work themselves. For example, experts have built drones with AI that can fly around and inspect roofs for damage [1], and there are even patented machines designed to tear off old shingles automatically [2]. There are also special exoskeleton suits that roofers can wear: a recent study found roofers using a battery-powered back-support suit felt much less fatigue and back pain when lifting heavy materials [3] [3].
But these machines mostly give support, not replace the worker. In contrast, tasks like sweeping debris, cleaning tools, unloading trucks, or clearing gutters are still done by people. No common robot or AI system is widely used yet to sweep a roof or scrub a gutter – each roof is different and tricky.
In short, technology is starting to help (for example, powerful vacuum machines and lifts move big loads), but helper roofers still need to do most steps by hand or with simple machines for now.

Automation in roofing is growing slowly. Construction businesses have been looking at AI and robots to speed up work because there’s a big labor shortage – one contractor noted “we’re retiring two people for every one we bring in,” meaning older workers leave faster than young workers join [4]. This shortage pushes companies to find new solutions.
But fully replacing roof helpers is hard. Surveys and studies show that construction firms face high costs and risks when buying robots, and jobs are unique each time [5]. Also, roofers don’t earn extremely high wages (the U.S. Bureau of Labor Statistics reports a median pay around $50,000 a year [6]), so workers can be cheaper than very expensive machines.
Instead of robots on the roof, many companies use AI for office tasks – like software that reads blueprints and automatically estimates project costs [7]. In short, while AI tools and some robots are helping with planning and safety, the hands-on work of lifting, sweeping, and fitting roofs still needs skilled people. Human roofers’ balance, creativity, and teamwork remain very important even as new technology arrives [5] [3].

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They assist roofers by carrying materials, removing old roofing, and cleaning up to ensure roofs are built or repaired efficiently and safely.
Median Wage
$40,590
Jobs (2024)
5,200
Growth (2024-34)
+5.7%
Annual Openings
600
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Place tiles, nail them to roof boards, and cover nailheads with roofing cement.
Provide assistance to skilled roofers installing and repairing roofs, flashings, and surfaces.
Cover roofs with layers of roofing felt or asphalt strips before installing tile, slate, or composition materials.
Remove old roofing materials.
Set ladders, scaffolds, and hoists in place for taking supplies to roofs.
Attach roofing paper and composition shingles, using nails.
Perform emergency leak repairs and general maintenance for a variety of roof types.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.
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